DIO/ODI Hub — Manifest, publications, reference artifacts & updates · Application Mappings · Reference Vocabulary

Application Mapping: DIO Reconstruction Failure Modes × RAG Pipeline

Status: derived application layer introduced in Reference Model v0.2.0 and included in v0.3.2.
Previous archived release: v0.3.1 — 10.5281/zenodo.23290683.
Boundary: not part of the canonical DIO/ODI Reference Vocabulary and not a normative redefinition of DIO, ODI, RAG, or the failure taxonomy.

Purpose

This mapping projects the current DIO Reconstruction Failure Mode taxonomy onto a generic retrieval-augmented generation pipeline. Its purpose is diagnostic: to show where RAG processing conditions can contribute to, expose, or amplify failures of digital-identity reconstruction.

A DIO failure mode is defined by the resulting reconstruction, not by the technical stage at which an upstream defect occurs. The relation between RAG stages and DIO failure modes is therefore many-to-many.

Generic RAG stages

  1. source/corpus formation;
  2. segmentation and indexing;
  3. query interpretation and entity linking;
  4. retrieval;
  5. reranking and context assembly;
  6. generation and synthesis;
  7. output validation and citation.

Mapping

DIO failure modeTypical RAG locus/lociPossible mechanismDIO interpretation
Entity SubstitutionQuery interpretation; entity linking; retrieval; synthesisEvidence becomes anchored to a distinct but confusable referent.The intended referent is reconstructed as another distinct referent.
Merge FailureIndexing/entity linking; retrieval; context assembly; synthesisRepresentations belonging to distinct referents are pooled under one working identity.Distinct referents are reconstructed as a single referential identity.
Split FailureIndexing/entity linking; retrieval; synthesisAliases, historical names, domains, identifiers, or legitimate transformations are treated as unrelated clusters.Referential unity of one continuous entity is lost.
Entity OmissionPost-retrieval context use; generation; synthesisSufficient grounds are available to the effective observer, but the relevant entity reconstruction is not produced.No relevant reconstruction is produced despite sufficient grounds within the observation domain; mere non-retrieval is outside this mode.
Semantic FragmentationContext assembly; synthesisCompatible representations are treated as disconnected semantic fragments.Referential unity remains while identity-preserving semantic coherence is lost.
Temporal DiscontinuityIndexing/version handling; retrieval; context assembly; synthesisSuccessive legitimate states are not connected as transformations of the same referent.Identity continuity across legitimate transformation is not preserved.
Temporal MisalignmentRetrieval; reranking; context assembly; synthesisOlder or otherwise temporally inappropriate representations dominate.The referent is correct but the reconstructed state is temporally inappropriate.
Contextual DisplacementQuery interpretation; reranking; context assembly; synthesisA legitimate but contextually secondary identity aspect dominates the evidence relevant to the task.A true reconstruction is contextually inadequate.

Related concepts outside the taxonomy

Semantic Vulnerability can be used as a robustness-oriented lens for asking how susceptible reconstruction is to perturbations in retrieval conditions, source availability, ranking, or context composition. Reconstruction Capture is relevant where a small subset of retrieved representations disproportionately dominates reconstruction. Identity Collapse remains a separate phenomenon-level concept.

Interpretation boundary

The mapping does not redefine DIO as a RAG framework, treat every RAG error as a DIO failure, assert one-to-one relations between pipeline stages and failure modes, or treat retrieval failure, hallucination, factual error, and source-quality problems as automatic synonyms for DIO concepts.

Source basis

The RAG stages and examples are generic analytical constructs, not claims of empirical validation.

Full Markdown source with detailed mechanisms, symptoms, and hypothetical incidents · JSON-LD machine-readable representation · Turtle RDF qualified assertions · GitHub repository

Author: Daniel Beránek · ORCID 0009-0004-0050-0264 · License: CC BY 4.0.